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Quant for 4.0
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metadata
license: other
language:
  - en
base_model: microsoft/Orca-2-13b
datasets:
  - HuggingFaceH4/no_robots
quantized_by: bartowski

Exllama v2 Quantizations of Orca-2-13B-no_robots at 4.0 bits per weight

Using turboderp's ExLlamaV2 v0.0.9 for quantization.

Conversion was done using wikitext-103-raw-v1-test.parquet as calibration dataset.

Original model: https://huggingface.co/Locutusque/Orca-2-13B-no_robots

Download instructions

With git:

git clone --single-branch --branch 4.0 https://huggingface.co/bartowski/Orca-2-13B-no_robots-exl2

With huggingface hub (credit to TheBloke for instructions):

pip3 install huggingface-hub

To download from a different branch, add the --revision parameter:

mkdir Orca-2-13B-no_robots-exl2
huggingface-cli download bartowski/Orca-2-13B-no_robots-exl2 --revision 4_0 --local-dir Orca-2-13B-no_robots-exl2 --local-dir-use-symlinks False